AppTek, a leader of automatic speech recognition (ASR), machine learning and artificial intelligence, today announces the newest mobile application addition to its Talk2Me product suite: Talk2Me Mobile. The speech-to-speech translation app, now available for free on iOS and Android markets, is used for instantaneous bi-directional Spanish/English and Arabic/English translations. In addition to live speech-to-speech translation, the app supports the ability to record, transcribe and archive content for future offline use. Whether for customer service calls, interviews, conference calls, web conferences or peer-to-peer conversations, Talk2Me converts audio and video assets into searchable, actionable data to help organizations draw comprehensive insights and transform the way people and businesses operate. "Our advances in speech technology, machine learning and artificial intelligence are lowering the barrier for people and businesses to effectively navigate, retrieve and transact across multiple languages," stated AppTek's CEO, Adam Sutherland.

"The Silicon Review 50 Smartest Companies of the Year 2016 program identifies the companies transforming the way we work via cutting-edge technology. These companies are leading the seismic shifts that today's company leaders need to be thinking about before it's too late. We selected WorkCompass because of its unique application of artificial intelligence to improve performance appraisal, its revenue growth, customer reviews and domain influence," said Manish Pandey, Editor-in-Chief of The Silicon Review Magazine. "We are honored to be recognized by The Silicon Review Magazine as the one of the 50 Smartest Companies of the Year 2016," said Denis Coleman, Founder and CEO at WorkCompass. "In 2012, I left my job to found WorkCompass. I wanted to transform performance appraisal into an ongoing process about coaching and mentoring staff to achieve their full potential. I'm incredibly proud of what we have achieved so far at WorkCompass".

All Telsa cars'from here on out' will be built with full autonomous capability - including the Model 3, Elon Musk announced tonight. In a press call today, the Tesla CEO said'all of the cars we make are shipping with level five hardware with full self-driving capability.' Musk claims the technology will soon enable'full autonomy all the way from LA to New York,' saying this would be achieved'without the need for a single touch.' According to the firm, Model S and Model X vehicles with the new hardware are'already in production.' Models with the new self-driving capabilities will have eight cameras, rather than the four in the simpler autopilot vehicles. All Teslas being produced, including the Model 3, are now being built with full autonomous capabilities. Model S and Model X vehicles with the new hardware are'already in production.' System will have eight cameras with 360 degree visibility around the car at up to 250 meters of range.

"Although remarkable progress has been made in the field of computer vision, the vast majority of both these theories and technologies have yet to transition to the real automotive world, where you have a huge variety of road infrastructure, side buildings, road signs, vehicles, and most importantly, human driving behaviors," stated Nexar co-founder and CTO, Bruno Fernandez-Ruiz. "At Nexar, we've assembled a first class technical team dedicated to propelling the automotive industry into the future using deep learning. Alongside fellow industry leaders participating in the BDD Consortium, the Nexar team will apply its rapidly expanding data network and industry know-how to infuse state-of-the-art deep learning techniques for the optimal and safest driving experience." Since its launch in February 2016, Nexar has tracked upwards of 20 million miles and recorded more than a half-million instances of driving incidents worldwide. This has provided the company with a large and diverse panel of data of real-world driving conditions, a databank that continues to expand every day and serves as a vital resource for the future success of the autonomous car industry.

Elon Musk is really accelerating the potential timeline for delivering self-driving: The Tesla CEO said on a press call that he hopes to deliver a test ride of fully autonomous Tesla vehicle driving by next year. Not a trip around the block, but a coast-to-coast road trip, he says. "Our goal is, and I feel pretty good about this goal, that we'll be able to do a demonstration drive of full autonomy all the way from LA to New York, from home in LA to let's say dropping you off in Time Square in New York, and then having the car go park itself, by the end of next year," he said on a press call today. To put that kind of accomplishment in perspective, current autonomous testing generally doesn't even cross state lines, let alone the country. It's a huge goal, and one that will potentially be replicable by every car Tesla makes between now and then, according to the new hardware and vehicle system updates Musk also announced today.

Chinese technology company LeEco on has made an inauspicious entry into the race to develop self-driving electric cars after its prototype car could not make it down the runway at a San Francisco launch event. China's Le Holdings Co Ltd, also known as LeEco, planned to unveil its self-driving car prototype as part of a splashy U.S. launch for an array of technology products and services, including phones, televisions and entertainment production. However, the planned climax to its two-hour press conference had to be scrapped at the last minute after one of its prototype electric cars was involved in a crash during its drive from Los Angeles to San Francisco. A second was flown over from London, where it is appearing in a forthcoming Transformers movie directed by Michael Bay, but the flight was delayed, missing the beginning of the show. The firm had planned to unveil its self-driving car prototype as part of a splashy U.S. launch for an array of technology products and services in San Francisco.

Pisa, 11-16 July We are pleased to announce the launch of the first edition of the International Summer School on'The Regulation of Robotics in Europe: Ethical, Legal and Economic Implications', which will be held in Pisa (Tuscany, Italy) from 11th to 16th July, 2016. This unique initiative, funded by the European Commission through the Jean Monnet Program, stems from the successful experience of the RoboLaw project (www.robolaw.eu) For further information please click HERE Bruxelles, September 24th, 2014 RoboLaw enters the European Parliament RoboLaw project coordinator Prof. Erica Palmerini and RoboLaw researcher Dr. Andrea Bertolini have been invited to present a paper on the main findings of the RoboLaw project at the workshop'Upcoming issues of EU law', organised by the JURI Committee of the European Parliament. The paper presented, entitled'REGULATING ROBOTICS: A CHALLENGE FOR EUROPE' is available here Bruxelles, September 24th, 2014 RoboLaw meets NEERI at the European Commission Prof. Erica Plamerni and Dr. Andrea Bertolini will participate in a meeting with the coordinator and the researchers of NEERI - Neuro-Enhancement: Responsible Research and Innovation, an FP7 project about human enhancement. The objective of the meeting is to discuss possible future collaborations and networking.

British AI talent is about to be given a boost after Founders Factory, a company specialising in growing startups, announced today that it will receive a "multimillion pound" investment from a top Chinese private equity firm. CSC Group is one of China's largest private equity firms, specialises in tech investment, and has previously pumped 400m into AngelList, an US startup accelerator. Now, the firm is turning its attention to the UK. CSC has agreed to a five-year deal with Founders Factory to invest in and scale five AI startups and co-create two new companies every year. "The partnership will build a bridge between AI talent in Europe and China; giving Founders Factory startups access to the Chinese market and Chinese talent the opportunity to enter the European tech ecosystem," Founders Factory said.

DENSO Corporation and Toshiba Corporation have reached a basic agreement to jointly develop an artificial intelligence technology called Deep Neural Network-Intellectual Property (DNN-IP), which will be used in image recognition systems which have been independently developed by the two companies to help achieve advanced driver assistance and automated driving technologies. This Smart News Release features multimedia. DNN, an algorithm modeled after the neural networks of the human brain, is expected to perform recognition processing as accurately as, or even better than the human brain. To achieve automated driving, automotive computers need to be able to identify different road traffic situations including a variety of obstacles and road markings, availability of road space for driving, and potentially dangerous situations. In image recognition based on conventional pattern recognition and machine learning, objects that need to be recognized by computers must be characterized and extracted in advance.

Zürich, Switzerland / Bad Neustadt, Germany - 18 Oct 2016: Today, RHÖN-KLINIKUM AG (RKA), a private hospital group in Germany, has announced, that by the end of the year, it will begin piloting a Watson-powered cognitive assistance system to help support physicians at the group's Centre for Undiagnosed and Rare Diseases located at the University Hospital Marburg. Since it opened in 2013, the renowned Center has been contacted by more than 6,000 patients to visit Prof. Dr. Jürgen Schäfer, a leading expert in rare diseases, who is also known as the "German Dr. House," based on the character of the eponymous American medical television drama. Most of the patients he and his team meets with have year-long medical histories, which include a large amount of unstructured data, such as laboratory tests, clinical reports, drug prescriptions, radiology findings as well as pathology reports. "It's not uncommon for our patients to have thousands of medical documents, leaving us overwhelmed, not only by the large number of patients, but also by the huge amount of data to be reviewed," said Prof. Dr. Jürgen Schäfer, University Hospital Marburg. "This is especially challenging because our work is often like searching for the proverbial needle in the haystack -- even the smallest piece of information could lead to an accurate diagnosis."